Simulation of Non-Markovian Systems.

Abstract

A generalized semi-Markov process provides a stochastic process model for a discrete-event simulation. This representation is particularly useful for non-Markovian systems where it is nontrivial to obtain recurrence properties of the underlying stochastic processes. The authors develop geometric trials arguments which can be used to obtain results on recurrence and regeneration in this setting. Such properties are needed to establish estimation procedures based on regenerative processes. Applications to modeling and simulation of ring and bus networks are discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA130837

Entities

People

  • Donald Iglehart
  • Gerald S. Shedler

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Bus Networks
  • Classification
  • Computer Networks
  • Computer Science
  • Computers
  • Distribution Functions
  • Electrical Engineering
  • Information Theory
  • Local Area Networks
  • Markov Chains
  • Markov Processes
  • Military Research
  • Networks
  • Probability
  • Random Variables
  • Simulations
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.